The invention discloses an eSIM service cost intelligent optimization method based on different operator information sources, and particularly relates to the technical field of operator
network management. The method comprises the following steps: collecting eSIM tariff rules of a plurality of operators and real-time charging data of eSIM terminals, extracting tariff terms and conditional expense trigger mechanisms hidden in charging behaviors of different operators by using an association
rule mining algorithm, and constructing a multi-level
cost structure model; on the basis of a network registration behavior log of the eSIM terminal, predicting the probability that each operator
signal source has an abnormal registration event, and evaluating the risk that each operator
signal source triggers a hidden cost trap in combination with a multi-level
cost structure model; and according to the real-time network
signal parameters of the eSIM terminal, a
signal source recommendation strategy is generated in combination with the
risk assessment result, and the eSIM terminal is driven to execute a
signal source switching operation, so that real-time adjustment and
cost optimization control of communication network selection are realized, and the service stability of the eSIM in a cross-network use scene is improved.